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You searched for subject:(data set). Showing records 1 – 30 of 225 total matches.

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University of Pretoria

1. [No author]. Statistical analysis of grouped data .

Degree: 2011, University of Pretoria

 The maximum likelihood (ML) estimation procedure of Matthews and Crowther (1995: A maximum likelihood estimation procedure when modelling in terms of constraints. South African Statistical… (more)

Subjects/Keywords: Grouped data set; UCTD

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APA (6th Edition):

author], [. (2011). Statistical analysis of grouped data . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07012008-072755/

Chicago Manual of Style (16th Edition):

author], [No. “Statistical analysis of grouped data .” 2011. Doctoral Dissertation, University of Pretoria. Accessed March 01, 2021. http://upetd.up.ac.za/thesis/available/etd-07012008-072755/.

MLA Handbook (7th Edition):

author], [No. “Statistical analysis of grouped data .” 2011. Web. 01 Mar 2021.

Vancouver:

author] [. Statistical analysis of grouped data . [Internet] [Doctoral dissertation]. University of Pretoria; 2011. [cited 2021 Mar 01]. Available from: http://upetd.up.ac.za/thesis/available/etd-07012008-072755/.

Council of Science Editors:

author] [. Statistical analysis of grouped data . [Doctoral Dissertation]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-07012008-072755/


University of Windsor

2. Singh, Harjeet. Performance Evaluation of Weighted Greedy Algorithm in Resource Management.

Degree: MS, Computer Science, 2018, University of Windsor

Set covering is a well-studied classical problem with many applications across different fields. More recent work on this problem has taken into account the parallel… (more)

Subjects/Keywords: big data; set covering algorithms

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APA (6th Edition):

Singh, H. (2018). Performance Evaluation of Weighted Greedy Algorithm in Resource Management. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7397

Chicago Manual of Style (16th Edition):

Singh, Harjeet. “Performance Evaluation of Weighted Greedy Algorithm in Resource Management.” 2018. Masters Thesis, University of Windsor. Accessed March 01, 2021. https://scholar.uwindsor.ca/etd/7397.

MLA Handbook (7th Edition):

Singh, Harjeet. “Performance Evaluation of Weighted Greedy Algorithm in Resource Management.” 2018. Web. 01 Mar 2021.

Vancouver:

Singh H. Performance Evaluation of Weighted Greedy Algorithm in Resource Management. [Internet] [Masters thesis]. University of Windsor; 2018. [cited 2021 Mar 01]. Available from: https://scholar.uwindsor.ca/etd/7397.

Council of Science Editors:

Singh H. Performance Evaluation of Weighted Greedy Algorithm in Resource Management. [Masters Thesis]. University of Windsor; 2018. Available from: https://scholar.uwindsor.ca/etd/7397


University of Waterloo

3. Khaleghi, Bahador. Distributed Random Set Theoretic Soft/Hard Data Fusion.

Degree: 2012, University of Waterloo

 Research on multisensor data fusion aims at providing the enabling technology to combine information from several sources in order to form a unifi ed picture.… (more)

Subjects/Keywords: Data Fusion; Random Set Theory

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APA (6th Edition):

Khaleghi, B. (2012). Distributed Random Set Theoretic Soft/Hard Data Fusion. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khaleghi, Bahador. “Distributed Random Set Theoretic Soft/Hard Data Fusion.” 2012. Thesis, University of Waterloo. Accessed March 01, 2021. http://hdl.handle.net/10012/6842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khaleghi, Bahador. “Distributed Random Set Theoretic Soft/Hard Data Fusion.” 2012. Web. 01 Mar 2021.

Vancouver:

Khaleghi B. Distributed Random Set Theoretic Soft/Hard Data Fusion. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10012/6842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khaleghi B. Distributed Random Set Theoretic Soft/Hard Data Fusion. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

4. van Engelshoven, Yuup (author). Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks.

Degree: 2019, Delft University of Technology

 Payment Channel Networks(PCN) utilize payment channels with an established link capacity between two nodes to route transactions over multiple links to carry out transactions. Such… (more)

Subjects/Keywords: Blockchain; Payment Channel Network; SpeedyMurmurs; Data-set; Synthetic Data-set

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APA (6th Edition):

van Engelshoven, Y. (. (2019). Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:32bf01ba-b6c6-410e-b0e1-b15d95eb05d9

Chicago Manual of Style (16th Edition):

van Engelshoven, Yuup (author). “Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks.” 2019. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:32bf01ba-b6c6-410e-b0e1-b15d95eb05d9.

MLA Handbook (7th Edition):

van Engelshoven, Yuup (author). “Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks.” 2019. Web. 01 Mar 2021.

Vancouver:

van Engelshoven Y(. Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:32bf01ba-b6c6-410e-b0e1-b15d95eb05d9.

Council of Science Editors:

van Engelshoven Y(. Designing and Evaluating Rebalancing Algorithms for Payment Channel Networks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:32bf01ba-b6c6-410e-b0e1-b15d95eb05d9

5. Pandey, Prateek. Forecasting in data pauperism;.

Degree: Computer Science Engineering, 2015, Jaypee University of Engineering and Technology, Guna

Any forecasting method requires some evidences on the basis of which a future event can be estimated Sometimes these evidences are present as numerical quantities… (more)

Subjects/Keywords: Clustering Processing; Data Forecasting; Data Pauperism; Fuzzy Set Theory

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APA (6th Edition):

Pandey, P. (2015). Forecasting in data pauperism;. (Thesis). Jaypee University of Engineering and Technology, Guna. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/42727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pandey, Prateek. “Forecasting in data pauperism;.” 2015. Thesis, Jaypee University of Engineering and Technology, Guna. Accessed March 01, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/42727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pandey, Prateek. “Forecasting in data pauperism;.” 2015. Web. 01 Mar 2021.

Vancouver:

Pandey P. Forecasting in data pauperism;. [Internet] [Thesis]. Jaypee University of Engineering and Technology, Guna; 2015. [cited 2021 Mar 01]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pandey P. Forecasting in data pauperism;. [Thesis]. Jaypee University of Engineering and Technology, Guna; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/42727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Princeton University

6. Larkin, Daniel. Compressing Trees with a Sledgehammer .

Degree: PhD, 2016, Princeton University

 A variety of problems can be solved more efficiently with the use of compressed trees. The compressed tree method is flexible and can be applied… (more)

Subjects/Keywords: algorithms; compressed trees; data structures; disjoint set union; nested set union; union-find

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APA (6th Edition):

Larkin, D. (2016). Compressing Trees with a Sledgehammer . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp011g05ff012

Chicago Manual of Style (16th Edition):

Larkin, Daniel. “Compressing Trees with a Sledgehammer .” 2016. Doctoral Dissertation, Princeton University. Accessed March 01, 2021. http://arks.princeton.edu/ark:/88435/dsp011g05ff012.

MLA Handbook (7th Edition):

Larkin, Daniel. “Compressing Trees with a Sledgehammer .” 2016. Web. 01 Mar 2021.

Vancouver:

Larkin D. Compressing Trees with a Sledgehammer . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2021 Mar 01]. Available from: http://arks.princeton.edu/ark:/88435/dsp011g05ff012.

Council of Science Editors:

Larkin D. Compressing Trees with a Sledgehammer . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp011g05ff012


NSYSU

7. Yang, Chih-Chin. A Spam Filter Based on Reinforcement and Collaboration.

Degree: Master, Information Management, 2008, NSYSU

 Growing volume of spam mails have not only decreased the productivity of people but also become a security threat on the Internet. Mail servers should… (more)

Subjects/Keywords: Spam; Data Mining and Artificial Intelligence; Collaborative; Rough Set Theory

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APA (6th Edition):

Yang, C. (2008). A Spam Filter Based on Reinforcement and Collaboration. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Chih-Chin. “A Spam Filter Based on Reinforcement and Collaboration.” 2008. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Chih-Chin. “A Spam Filter Based on Reinforcement and Collaboration.” 2008. Web. 01 Mar 2021.

Vancouver:

Yang C. A Spam Filter Based on Reinforcement and Collaboration. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang C. A Spam Filter Based on Reinforcement and Collaboration. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

8. Wang, Tse-yao. The study of data preprocessing difference to impact the botnet detection performance.

Degree: PhD, Information Management, 2016, NSYSU

 Many studies employ machine learning to detect botnet C&C communications traffic quite effective. If the former data handled properly, it will affect the final detection… (more)

Subjects/Keywords: data transformation; machine learning; Botnet detection; Rough Set Theory; feature selection

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APA (6th Edition):

Wang, T. (2016). The study of data preprocessing difference to impact the botnet detection performance. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523

Chicago Manual of Style (16th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Doctoral Dissertation, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

MLA Handbook (7th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Web. 01 Mar 2021.

Vancouver:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Internet] [Doctoral dissertation]. NSYSU; 2016. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

Council of Science Editors:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Doctoral Dissertation]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523


University of Rochester

9. Altun, H. Oktay (1978 - ); Bocko, Mark Frederick (1956 - ). Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond.

Degree: PhD, 2012, University of Rochester

 The digital revolution is affecting our daily activities, changing our habits and indeed reshaping cultures around the world. The intellectual products of today are now… (more)

Subjects/Keywords: Multimedia security; Data hiding; Set theory; Fingerprinting; Watermarking

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APA (6th Edition):

Altun, H. Oktay (1978 - ); Bocko, M. F. (. -. ). (2012). Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/21220

Chicago Manual of Style (16th Edition):

Altun, H. Oktay (1978 - ); Bocko, Mark Frederick (1956 - ). “Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond.” 2012. Doctoral Dissertation, University of Rochester. Accessed March 01, 2021. http://hdl.handle.net/1802/21220.

MLA Handbook (7th Edition):

Altun, H. Oktay (1978 - ); Bocko, Mark Frederick (1956 - ). “Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond.” 2012. Web. 01 Mar 2021.

Vancouver:

Altun, H. Oktay (1978 - ); Bocko MF(-). Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond. [Internet] [Doctoral dissertation]. University of Rochester; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1802/21220.

Council of Science Editors:

Altun, H. Oktay (1978 - ); Bocko MF(-). Set theoretic framework for multimedia security and data hiding: applications to watermarking, steganography, fingerprinting, and beyond. [Doctoral Dissertation]. University of Rochester; 2012. Available from: http://hdl.handle.net/1802/21220


University of Alberta

10. Satsangi, Amit. Data mining using contrast-sets: A comparative study.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 Comparative analysis is an essential part of understanding how and why things work the way they do. Why postgraduate degree holders really earn more money… (more)

Subjects/Keywords: Contrast-set mining; Group contrasting; Contrast-sets; Data-mining

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APA (6th Edition):

Satsangi, A. (2011). Data mining using contrast-sets: A comparative study. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/dv13zt35j

Chicago Manual of Style (16th Edition):

Satsangi, Amit. “Data mining using contrast-sets: A comparative study.” 2011. Masters Thesis, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/dv13zt35j.

MLA Handbook (7th Edition):

Satsangi, Amit. “Data mining using contrast-sets: A comparative study.” 2011. Web. 01 Mar 2021.

Vancouver:

Satsangi A. Data mining using contrast-sets: A comparative study. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/dv13zt35j.

Council of Science Editors:

Satsangi A. Data mining using contrast-sets: A comparative study. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/dv13zt35j


University of Michigan

11. Dutta, Diptavo. Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis.

Degree: PhD, Biostatistics, 2019, University of Michigan

 As association studies continue to advance, more efficient statistical methods are required to fully utilize existing data and to provide insight into genetic architecture of… (more)

Subjects/Keywords: Multiple phenotypes; Gene-set; Kernel regression; Statistics and Numeric Data; Science

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APA (6th Edition):

Dutta, D. (2019). Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151689

Chicago Manual of Style (16th Edition):

Dutta, Diptavo. “Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis.” 2019. Doctoral Dissertation, University of Michigan. Accessed March 01, 2021. http://hdl.handle.net/2027.42/151689.

MLA Handbook (7th Edition):

Dutta, Diptavo. “Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis.” 2019. Web. 01 Mar 2021.

Vancouver:

Dutta D. Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2027.42/151689.

Council of Science Editors:

Dutta D. Statistical Methods for Multiple Phenotypes and Gene-Set Association Analysis. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151689


University of North Texas

12. Liu, Siyuan. Learning from small data set for object recognition in mobile platforms.

Degree: 2016, University of North Texas

 Did you stand at a door with a bunch of keys and tried to find the right one to unlock the door? Did you hold… (more)

Subjects/Keywords: object recognition; machine learning; mobile platforms; small data set; feature extraction

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APA (6th Edition):

Liu, S. (2016). Learning from small data set for object recognition in mobile platforms. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc849633/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Thesis, University of North Texas. Accessed March 01, 2021. https://digital.library.unt.edu/ark:/67531/metadc849633/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Web. 01 Mar 2021.

Vancouver:

Liu S. Learning from small data set for object recognition in mobile platforms. [Internet] [Thesis]. University of North Texas; 2016. [cited 2021 Mar 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu S. Learning from small data set for object recognition in mobile platforms. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Graux, Damien. On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées.

Degree: Docteur es, Informatique, 2016, Université Grenoble Alpes (ComUE)

Le Web Sémantique est une extension du Web standardisée par le World Wide Web Consortium. Les différents standards utilisent comme format de base pour les… (more)

Subjects/Keywords: BigData; Passage à l'échelle; Données; BigData; Scalability; Data set; 004

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APA (6th Edition):

Graux, D. (2016). On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2016GREAM058

Chicago Manual of Style (16th Edition):

Graux, Damien. “On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées.” 2016. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 01, 2021. http://www.theses.fr/2016GREAM058.

MLA Handbook (7th Edition):

Graux, Damien. “On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées.” 2016. Web. 01 Mar 2021.

Vancouver:

Graux D. On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2016. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2016GREAM058.

Council of Science Editors:

Graux D. On the efficient distributed evaluation of SPARQL queries : Sur l'évaluation efficace de requêtes SPARQL distribuées. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2016. Available from: http://www.theses.fr/2016GREAM058


University of Pretoria

14. Crafford, Gretel. Statistical analysis of grouped data.

Degree: Statistics, 2007, University of Pretoria

 The maximum likelihood (ML) estimation procedure of Matthews and Crowther (1995: A maximum likelihood estimation procedure when modelling in terms of constraints. South African Statistical… (more)

Subjects/Keywords: Grouped data set; UCTD

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APA (6th Edition):

Crafford, G. (2007). Statistical analysis of grouped data. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25968

Chicago Manual of Style (16th Edition):

Crafford, Gretel. “Statistical analysis of grouped data.” 2007. Doctoral Dissertation, University of Pretoria. Accessed March 01, 2021. http://hdl.handle.net/2263/25968.

MLA Handbook (7th Edition):

Crafford, Gretel. “Statistical analysis of grouped data.” 2007. Web. 01 Mar 2021.

Vancouver:

Crafford G. Statistical analysis of grouped data. [Internet] [Doctoral dissertation]. University of Pretoria; 2007. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2263/25968.

Council of Science Editors:

Crafford G. Statistical analysis of grouped data. [Doctoral Dissertation]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/25968


Utah State University

15. Sahu, Vaibhav. Identifying Criticality in Market Sentiment: A Data Mining Approach.

Degree: MS, Computer Science, 2018, Utah State University

  The aim of this thesis is to study and identify time periods of high activity in commodity and stock market sentiment based on a… (more)

Subjects/Keywords: Data Mining; Information Measure; Set Complexity; Sentiment Analysis; Market; Computer Sciences

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APA (6th Edition):

Sahu, V. (2018). Identifying Criticality in Market Sentiment: A Data Mining Approach. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7389

Chicago Manual of Style (16th Edition):

Sahu, Vaibhav. “Identifying Criticality in Market Sentiment: A Data Mining Approach.” 2018. Masters Thesis, Utah State University. Accessed March 01, 2021. https://digitalcommons.usu.edu/etd/7389.

MLA Handbook (7th Edition):

Sahu, Vaibhav. “Identifying Criticality in Market Sentiment: A Data Mining Approach.” 2018. Web. 01 Mar 2021.

Vancouver:

Sahu V. Identifying Criticality in Market Sentiment: A Data Mining Approach. [Internet] [Masters thesis]. Utah State University; 2018. [cited 2021 Mar 01]. Available from: https://digitalcommons.usu.edu/etd/7389.

Council of Science Editors:

Sahu V. Identifying Criticality in Market Sentiment: A Data Mining Approach. [Masters Thesis]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/7389


Delft University of Technology

16. Gerling, Jan (author). Machine Learning for Software Refactoring: a Large-Scale Empirical Study.

Degree: 2020, Delft University of Technology

Refactorings tackle the challenge of architectural degradation of object-oriented software projects by improving its internal structure without changing the behavior. Refactorings improve software quality and… (more)

Subjects/Keywords: Refactoring; software engineering; machine learning; data set; open source; Java

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APA (6th Edition):

Gerling, J. (. (2020). Machine Learning for Software Refactoring: a Large-Scale Empirical Study. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bf649e9c-9d53-4e8c-a91b-f0a6b6aab733

Chicago Manual of Style (16th Edition):

Gerling, Jan (author). “Machine Learning for Software Refactoring: a Large-Scale Empirical Study.” 2020. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:bf649e9c-9d53-4e8c-a91b-f0a6b6aab733.

MLA Handbook (7th Edition):

Gerling, Jan (author). “Machine Learning for Software Refactoring: a Large-Scale Empirical Study.” 2020. Web. 01 Mar 2021.

Vancouver:

Gerling J(. Machine Learning for Software Refactoring: a Large-Scale Empirical Study. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:bf649e9c-9d53-4e8c-a91b-f0a6b6aab733.

Council of Science Editors:

Gerling J(. Machine Learning for Software Refactoring: a Large-Scale Empirical Study. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:bf649e9c-9d53-4e8c-a91b-f0a6b6aab733

17. MIN HUANG. Data reduction with RSS methodology.

Degree: 2005, National University of Singapore

Subjects/Keywords: DATA REDUCTION; RANKED SET SAMPLING

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

HUANG, M. (2005). Data reduction with RSS methodology. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/14616

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HUANG, MIN. “Data reduction with RSS methodology.” 2005. Thesis, National University of Singapore. Accessed March 01, 2021. https://scholarbank.nus.edu.sg/handle/10635/14616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HUANG, MIN. “Data reduction with RSS methodology.” 2005. Web. 01 Mar 2021.

Vancouver:

HUANG M. Data reduction with RSS methodology. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2021 Mar 01]. Available from: https://scholarbank.nus.edu.sg/handle/10635/14616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HUANG M. Data reduction with RSS methodology. [Thesis]. National University of Singapore; 2005. Available from: https://scholarbank.nus.edu.sg/handle/10635/14616

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

18. Lin, Shih-Bin. A Study on Fuzzy Temporal Data Mining.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

Data mining is an important process of extracting desirable knowledge from existing databases for specific purposes. Nearly all transactions in real-world databases involve items bought,… (more)

Subjects/Keywords: fuzzy data mining; Fuzzy set; data mining; fuzzy temporal association rule; item lifespan

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, S. (2011). A Study on Fuzzy Temporal Data Mining. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-214151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Shih-Bin. “A Study on Fuzzy Temporal Data Mining.” 2011. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-214151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Shih-Bin. “A Study on Fuzzy Temporal Data Mining.” 2011. Web. 01 Mar 2021.

Vancouver:

Lin S. A Study on Fuzzy Temporal Data Mining. [Internet] [Thesis]. NSYSU; 2011. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-214151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin S. A Study on Fuzzy Temporal Data Mining. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-214151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

19. Sinsley, Gregory. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.

Degree: 2012, Penn State University

 One of the biggest challenges currently facing the robotics field is sensor data fusion. Unmanned robots carry many sophisticated sensors including visual and infrared cameras,… (more)

Subjects/Keywords: sensor data fusion; information fusion; soft sensor data fusion; random set theory; particle filter

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sinsley, G. (2012). Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Thesis, Penn State University. Accessed March 01, 2021. https://submit-etda.libraries.psu.edu/catalog/16157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Web. 01 Mar 2021.

Vancouver:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Mar 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/16157.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16157

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Mohebi, Ehsan. Nonsmooth optimization models and algorithms for data clustering and visualization.

Degree: PhD, 2015, Federation University Australia

Cluster analysis deals with the problem of organization of a collection of patterns into clusters based on a similarity measure. Various distance functions can be… (more)

Subjects/Keywords: Cluster analysis; Clustering problems; Cluster structure; Data set; High dimensional data visualization; Algorithms; Similarity measures

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APA (6th Edition):

Mohebi, E. (2015). Nonsmooth optimization models and algorithms for data clustering and visualization. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/77001

Chicago Manual of Style (16th Edition):

Mohebi, Ehsan. “Nonsmooth optimization models and algorithms for data clustering and visualization.” 2015. Doctoral Dissertation, Federation University Australia. Accessed March 01, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/77001.

MLA Handbook (7th Edition):

Mohebi, Ehsan. “Nonsmooth optimization models and algorithms for data clustering and visualization.” 2015. Web. 01 Mar 2021.

Vancouver:

Mohebi E. Nonsmooth optimization models and algorithms for data clustering and visualization. [Internet] [Doctoral dissertation]. Federation University Australia; 2015. [cited 2021 Mar 01]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/77001.

Council of Science Editors:

Mohebi E. Nonsmooth optimization models and algorithms for data clustering and visualization. [Doctoral Dissertation]. Federation University Australia; 2015. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/77001


University of Newcastle

21. Jimenez, Francia. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.

Degree: PhD, 2019, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

In many application areas, the decision-making process is enhanced by the information obtained from analyzing data. In fact,… (more)

Subjects/Keywords: Feature Selection (FS); k-Feature Set Problem (k-FS); α; β)-k-Feature Set Problem (ABkFS); data integration

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APA (6th Edition):

Jimenez, F. (2019). The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1400428

Chicago Manual of Style (16th Edition):

Jimenez, Francia. “The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.” 2019. Doctoral Dissertation, University of Newcastle. Accessed March 01, 2021. http://hdl.handle.net/1959.13/1400428.

MLA Handbook (7th Edition):

Jimenez, Francia. “The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.” 2019. Web. 01 Mar 2021.

Vancouver:

Jimenez F. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. [Internet] [Doctoral dissertation]. University of Newcastle; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1959.13/1400428.

Council of Science Editors:

Jimenez F. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. [Doctoral Dissertation]. University of Newcastle; 2019. Available from: http://hdl.handle.net/1959.13/1400428


Vilnius Gediminas Technical University

22. Pliuskuvienė, Birutė. Adaptyvūs duomenų modeliai projektavime.

Degree: Dissertation, Informatics Engineering, 2008, Vilnius Gediminas Technical University

Disertacijoje nagrinėjamos taikomųjų uždavinių, kurių duomenys išreikšti reliacinėmis aibėmis, sprendimus realizuojančių priemonių adaptyvumo problemos. Pagrindiniai tyrimo objektai yra adaptyvieji duomenų modeliai: duomenų išrinkimo modelis, duomenų… (more)

Subjects/Keywords: Reliacinė aibė; Adaptyvieji duomenų modeliai; Duomenų transformaticija; Algoritminė duomenų priklausomybė; Relation set; Adaptive data models; Data transformation; Algorithmic data dependency

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pliuskuvienė, B. (2008). Adaptyvūs duomenų modeliai projektavime. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143724-43004 ;

Chicago Manual of Style (16th Edition):

Pliuskuvienė, Birutė. “Adaptyvūs duomenų modeliai projektavime.” 2008. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed March 01, 2021. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143724-43004 ;.

MLA Handbook (7th Edition):

Pliuskuvienė, Birutė. “Adaptyvūs duomenų modeliai projektavime.” 2008. Web. 01 Mar 2021.

Vancouver:

Pliuskuvienė B. Adaptyvūs duomenų modeliai projektavime. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2008. [cited 2021 Mar 01]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143724-43004 ;.

Council of Science Editors:

Pliuskuvienė B. Adaptyvūs duomenų modeliai projektavime. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2008. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143724-43004 ;


Vilnius Gediminas Technical University

23. Pliuskuvienė, Birutė. Adaptive data models in design.

Degree: PhD, Informatics Engineering, 2008, Vilnius Gediminas Technical University

In the dissertation the adaptation problem of the software whose instability is caused by the changes in primary data contents and structure as well as… (more)

Subjects/Keywords: Relation set; Adaptive data models; Data transformation; Algorithmic data dependency; Reliacinė aibė; Adaptyvieji duomenų modeliai; Duomenų transformaticija; Algoritminė duomenų priklausomybė

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APA (6th Edition):

Pliuskuvienė, B. (2008). Adaptive data models in design. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525 ;

Chicago Manual of Style (16th Edition):

Pliuskuvienė, Birutė. “Adaptive data models in design.” 2008. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed March 01, 2021. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525 ;.

MLA Handbook (7th Edition):

Pliuskuvienė, Birutė. “Adaptive data models in design.” 2008. Web. 01 Mar 2021.

Vancouver:

Pliuskuvienė B. Adaptive data models in design. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2008. [cited 2021 Mar 01]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525 ;.

Council of Science Editors:

Pliuskuvienė B. Adaptive data models in design. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2008. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525 ;


University of South Africa

24. Molefi, Zachariah Modise. Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting .

Degree: 2014, University of South Africa

 Health practitioners collect health data on a daily basis at health facility levels in order to monitor and evaluate the performance of priority national health… (more)

Subjects/Keywords: Routine health data; Data elements; Health indicators; Data quality; Data validation; Minimum data set; Understanding of daily collected data; Use of routine; Information feedback presentation

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APA (6th Edition):

Molefi, Z. M. (2014). Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/18841

Chicago Manual of Style (16th Edition):

Molefi, Zachariah Modise. “Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting .” 2014. Masters Thesis, University of South Africa. Accessed March 01, 2021. http://hdl.handle.net/10500/18841.

MLA Handbook (7th Edition):

Molefi, Zachariah Modise. “Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting .” 2014. Web. 01 Mar 2021.

Vancouver:

Molefi ZM. Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting . [Internet] [Masters thesis]. University of South Africa; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10500/18841.

Council of Science Editors:

Molefi ZM. Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting . [Masters Thesis]. University of South Africa; 2014. Available from: http://hdl.handle.net/10500/18841


Brno University of Technology

25. Kříž, Radim. Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation.

Degree: 2019, Brno University of Technology

 This work deals with the possibilities of interactive segmentation of medical image data using a ITK library and segmentation method level-set. It discusses the possibilities… (more)

Subjects/Keywords: metoda Level-set; segmentace; interaktivita; ITK; Qt; medicínská obrazová data; segmentace obrazu; uživatelsky přívětivé GUI; Level-set method; segmentation; interactivity; ITK; Qt; medical image data; image segmentation; user-friendly GUI

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APA (6th Edition):

Kříž, R. (2019). Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/56094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kříž, Radim. “Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation.” 2019. Thesis, Brno University of Technology. Accessed March 01, 2021. http://hdl.handle.net/11012/56094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kříž, Radim. “Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation.” 2019. Web. 01 Mar 2021.

Vancouver:

Kříž R. Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11012/56094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kříž R. Interaktivní segmentace medicínských obrazových dat: Interactive Medical Image Segmentation. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/56094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

26. Li, Yu. Genetic-Fuzzy Mining with Type-2 Membership Functions.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 Association rule mining is commonly utilized to extract useful information from given data. Since items are usually with quantities in real-world transaction databases, the fuzzy… (more)

Subjects/Keywords: genetic-fuzzy mining; association rule; data mining; type-2 fuzzy set; membership function

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APA (6th Edition):

Li, Y. (2015). Genetic-Fuzzy Mining with Type-2 Membership Functions. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Yu. “Genetic-Fuzzy Mining with Type-2 Membership Functions.” 2015. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Yu. “Genetic-Fuzzy Mining with Type-2 Membership Functions.” 2015. Web. 01 Mar 2021.

Vancouver:

Li Y. Genetic-Fuzzy Mining with Type-2 Membership Functions. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Y. Genetic-Fuzzy Mining with Type-2 Membership Functions. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universiteit Utrecht

27. Rosman, S. Path planning for cyclists.

Degree: 2015, Universiteit Utrecht

 In the field of path planning and crowd simulation, many models have been developed for simulating pedestrians, cars, and autonomous vehicles. However, no such models… (more)

Subjects/Keywords: bicycle; simulation; path planning; bicycle data set; simulating bicycles; cyclists; urban environments

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APA (6th Edition):

Rosman, S. (2015). Path planning for cyclists. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/320194

Chicago Manual of Style (16th Edition):

Rosman, S. “Path planning for cyclists.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/320194.

MLA Handbook (7th Edition):

Rosman, S. “Path planning for cyclists.” 2015. Web. 01 Mar 2021.

Vancouver:

Rosman S. Path planning for cyclists. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/320194.

Council of Science Editors:

Rosman S. Path planning for cyclists. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/320194


University of Rochester

28. Zhang, Yun; Qiu, Xing. Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes.

Degree: PhD, 2020, University of Rochester

 Gene Set Enrichment Analysis (GSEA) is a powerful inferential tool that incorporates knowledge of a priori defined gene sets (e.g. molecular pathways) into the high-throughput… (more)

Subjects/Keywords: Elastic-net; Functional data analysis; Gene set enrichment analysis with empirical memberships.

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APA (6th Edition):

Zhang, Yun; Qiu, X. (2020). Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/35513

Chicago Manual of Style (16th Edition):

Zhang, Yun; Qiu, Xing. “Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes.” 2020. Doctoral Dissertation, University of Rochester. Accessed March 01, 2021. http://hdl.handle.net/1802/35513.

MLA Handbook (7th Edition):

Zhang, Yun; Qiu, Xing. “Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes.” 2020. Web. 01 Mar 2021.

Vancouver:

Zhang, Yun; Qiu X. Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes. [Internet] [Doctoral dissertation]. University of Rochester; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1802/35513.

Council of Science Editors:

Zhang, Yun; Qiu X. Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes. [Doctoral Dissertation]. University of Rochester; 2020. Available from: http://hdl.handle.net/1802/35513


Jawaharlal Nehru University

29. Jain, Rajni. Rough set based decision tree induction for data mining; -.

Degree: School of Computer and System Sciences, 2004, Jawaharlal Nehru University

Available

Bibliography p.243-254 and Appendicies p.A21-A28

Advisors/Committee Members: Minz, Sonajharia.

Subjects/Keywords: Data mining; Rough set; Tree induction

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APA (6th Edition):

Jain, R. (2004). Rough set based decision tree induction for data mining; -. (Thesis). Jawaharlal Nehru University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jain, Rajni. “Rough set based decision tree induction for data mining; -.” 2004. Thesis, Jawaharlal Nehru University. Accessed March 01, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/35602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jain, Rajni. “Rough set based decision tree induction for data mining; -.” 2004. Web. 01 Mar 2021.

Vancouver:

Jain R. Rough set based decision tree induction for data mining; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2004. [cited 2021 Mar 01]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35602.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jain R. Rough set based decision tree induction for data mining; -. [Thesis]. Jawaharlal Nehru University; 2004. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35602

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Merced

30. Zumkehr, Andrew Lee. Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes.

Degree: Environmental Systems, 2017, University of California – Merced

 Carbonyl sulfide (COS or OCS) is emerging as a potentially important tracer of terrestrial biological carbon fluxes. Anthropogenic sources of atmospheric COS are a first… (more)

Subjects/Keywords: Environmental science; Atmospheric chemistry; Environmental engineering; Anthropogenic; Carbonyl Sulfide; data set; global; Sources

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APA (6th Edition):

Zumkehr, A. L. (2017). Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/6q39m8n3

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zumkehr, Andrew Lee. “Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes.” 2017. Thesis, University of California – Merced. Accessed March 01, 2021. http://www.escholarship.org/uc/item/6q39m8n3.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zumkehr, Andrew Lee. “Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes.” 2017. Web. 01 Mar 2021.

Vancouver:

Zumkehr AL. Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes. [Internet] [Thesis]. University of California – Merced; 2017. [cited 2021 Mar 01]. Available from: http://www.escholarship.org/uc/item/6q39m8n3.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zumkehr AL. Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes. [Thesis]. University of California – Merced; 2017. Available from: http://www.escholarship.org/uc/item/6q39m8n3

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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